메뉴 건너뛰기




Volumn 29, Issue 1, 2008, Pages 59-71

Synthesizing heavy association rules from different real data sources

Author keywords

Exceptional association rule; Heavy association rule; High frequent association rule; Local pattern analysis; Multi database mining; Synthesis of patterns

Indexed keywords

ALGORITHMS; DATA MINING; DATABASE SYSTEMS; MATHEMATICAL MODELS; PATTERN RECOGNITION;

EID: 35648962340     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2007.09.001     Document Type: Article
Times cited : (47)

References (24)
  • 2
    • 35648977902 scopus 로고    scopus 로고
    • Agrawal, R., Srikant, R., 1994. Fast algorithms for mining association rules. In: Proceedings of the International Conference on Very Large Data Bases. pp. 487-499.
  • 3
    • 0027621699 scopus 로고    scopus 로고
    • Agrawal, R., Imielinski, T., Swami, A., 1993. Mining association rules between sets of items in large databases. In: Proceedings of ACM SIGMOD Conference Management of Data. pp. 207-216.
  • 4
    • 35649018457 scopus 로고    scopus 로고
    • Aronis, J., Kolluri, V., Provost, F., Buchanan, B., 1997. The WoRLD: Knowledge discovery from multiple distributed databases. In: Proceedings of the 10th International Florida AI Research Symposium. pp. 337-341.
  • 6
    • 35648964502 scopus 로고    scopus 로고
    • Chattratichat, J., Darlington, J., Ghanem, M., Guo, Y., Hüning, H., Köhler, M., Sutiwaraphun, J., To, H.W., Yang, D., 1997. Large scale data mining: Challenges, and responses. In: Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. pp. 143-146.
  • 7
    • 0030379749 scopus 로고    scopus 로고
    • Efficient mining of association rules in distributed databases
    • Cheung D., Ng V., Fu A., and Fu Y. Efficient mining of association rules in distributed databases. IEEE Trans. Knowledge Data Eng. 8 6 (1996) 911-922
    • (1996) IEEE Trans. Knowledge Data Eng. , vol.8 , Issue.6 , pp. 911-922
    • Cheung, D.1    Ng, V.2    Fu, A.3    Fu, Y.4
  • 8
    • 35648983244 scopus 로고    scopus 로고
    • Frequent itemset mining dataset repository, http://fimi.cs.helsinki.fi/data/.
  • 9
    • 0039253846 scopus 로고    scopus 로고
    • Han, J., Pei, J., Yiwen, Y., 2000. Mining frequent patterns without candidate generation. In: Proceedings of the ACM SIGMOD Conference Management of Data. pp. 1-12.
  • 10
    • 0035198761 scopus 로고    scopus 로고
    • Advances in predictive models for data mining
    • Hong S.J., and Weiss S.M. Advances in predictive models for data mining. Pattern Recog. Lett. 22 1 (2001) 55-61
    • (2001) Pattern Recog. Lett. , vol.22 , Issue.1 , pp. 55-61
    • Hong, S.J.1    Weiss, S.M.2
  • 11
    • 35648937851 scopus 로고    scopus 로고
    • Last, M., Kandel, A., 2001. Automated detection of outliers in real-world data. In: Proceedings of the Second International Conference on Intelligent Technologies. pp. 292-301.
  • 13
    • 0035388008 scopus 로고    scopus 로고
    • Toward multi-database mining: Identifying relevant databases
    • Liu H., Lu H., and Yao J. Toward multi-database mining: Identifying relevant databases. IEEE Trans. Knowledge Data Eng. 13 4 (2001) 541-553
    • (2001) IEEE Trans. Knowledge Data Eng. , vol.13 , Issue.4 , pp. 541-553
    • Liu, H.1    Lu, H.2    Yao, J.3
  • 15
    • 35649016462 scopus 로고    scopus 로고
    • Savasere, A., Omiecinski, E., Navathe, S., 1995. An efficient algorithm for mining association rules in large databases. In: Proceedings of the 21st International Conference on Very Large Data Bases. pp. 432-443.
  • 16
    • 33747892727 scopus 로고    scopus 로고
    • Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification
    • Viswanath P., Murty M.N., and Bhatnagar S. Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification. Pattern Recog. Lett. 27 14 (2006) 1714-1724
    • (2006) Pattern Recog. Lett. , vol.27 , Issue.14 , pp. 1714-1724
    • Viswanath, P.1    Murty, M.N.2    Bhatnagar, S.3
  • 17
    • 0037339975 scopus 로고    scopus 로고
    • Synthesizing high-frequency rules from different data sources
    • Wu X., and Zhang S. Synthesizing high-frequency rules from different data sources. IEEE Trans. Knowledge Data Eng. 14 2 (2003) 353-367
    • (2003) IEEE Trans. Knowledge Data Eng. , vol.14 , Issue.2 , pp. 353-367
    • Wu, X.1    Zhang, S.2
  • 18
    • 4644356822 scopus 로고    scopus 로고
    • Database classification for multi-database mining
    • Wu X., Zhang C., and Zhang S. Database classification for multi-database mining. Inform. Syst. 30 1 (2005) 71-88
    • (2005) Inform. Syst. , vol.30 , Issue.1 , pp. 71-88
    • Wu, X.1    Zhang, C.2    Zhang, S.3
  • 19
    • 33646415067 scopus 로고    scopus 로고
    • Yin, X., Han, J., 2005. Efficient classification from multiple heterogeneous databases. In: Proceedings of Ninth European Conference on Principles and Practice of Knowledge Discovery in Databases. pp. 404-416.
  • 20
    • 35649022013 scopus 로고    scopus 로고
    • Zhang, S., 2002. Knowledge discovery in multi-databases by analyzing local instances. Ph.D. Thesis, Deakin University.
  • 21
    • 33646589614 scopus 로고    scopus 로고
    • Mining multiple data sources: Local pattern analysis
    • Springer pp. 121-125
    • Zhang S., and Zaki M.J. Mining multiple data sources: Local pattern analysis. Data Mining and Knowledge Discovery (2006), Springer pp. 121-125
    • (2006) Data Mining and Knowledge Discovery
    • Zhang, S.1    Zaki, M.J.2
  • 23
    • 33646577936 scopus 로고    scopus 로고
    • Identifying global exceptional patterns in multi-database mining
    • Zhang C., Liu M., Nie W., and Zhang S. Identifying global exceptional patterns in multi-database mining. IEEE Comput. Intell. Bull. 3 1 (2004) 19-24
    • (2004) IEEE Comput. Intell. Bull. , vol.3 , Issue.1 , pp. 19-24
    • Zhang, C.1    Liu, M.2    Nie, W.3    Zhang, S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.